Instructions to use AnonymousCS/populism_classifier_bsample_006 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_006 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_006")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_006") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_006", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e98aa01e13bdc2995fcc44cd8bb491292226aa2705d41549be879a20ae61a86a
- Size of remote file:
- 5.43 kB
- SHA256:
- ab2783f02a6ec2f325fcff271870332ed4972791d6ddaf50569cb84e6de3fede
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